Structural Crack Detection Using Hilbert-Huang Transform Method and Wavelet Analysis
This paper illustrates the feasibility of the Hilbert-Huang transform (HHT) as a signal processing tool for detecting structural cracks. HHT is a promising method to extract the properties of nonlinear signals. However the HHT has some shortcomings, for example some undesirable pseudoIMFs and multi-component IMF. The crack detection method based on the wavelet analysis and HHT is proposed to analyze response signals: the wavelet analysis is used to decompose the signal into a set of narrow band signals prior to the HHT. Then, a screening process is conducted to remove unrelated IMFs. By comparing the IMFs instantaneous amplitudes, the existence of structural crack is detected. Finally, the experiment results of the cantilever beams prove the reliability of this method.
Crack detection Hilbert-Huang transform Wavelet analysis
Long Liu Dashan Dong
Logistics Engineering College, Shanghai Maritime University, Shanghai, 201306, China
国际会议
上海
英文
710-713
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）